Multiple Linear Regression - Estimated Regression Equation

Leeftijd[t] = + 19 0Bloeddruk[t] + 1t + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	19	0	11417634619698588	0	0
Bloeddruk	0	0	0	1	0.5
t	1	0	78747797822960032	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	1
R-squared	1
Adjusted R-squared	1
F-TEST (value)	3.91241871997838e+33
F-TEST (DF numerator)	2
F-TEST (DF denominator)	78
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.37884499349572e-15
Sum Squared Residuals	4.41394473240211e-28

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	20	20	-1.36458209119004e-14
2	21	21	-9.11624882713986e-16
3	22	22	1.45737940301266e-15
4	23	23	-1.19214784627053e-15
5	24	24	1.66476391063576e-15
6	25	25	1.7500840561023e-15
7	26	26	2.10756370097566e-15
8	27	27	1.43298073051107e-15
9	28	28	1.56537276554652e-15
10	29	29	9.26750276642387e-16
11	30	30	4.81456010912892e-15
12	31	31	2.21896297534156e-15
13	32	32	-1.05205517927696e-16
14	33	33	2.53378102051722e-15
15	34	34	-1.56553388358363e-15
16	35	35	2.226659011951e-15
17	36	36	2.18323934342024e-15
18	37	37	3.2090804103009e-15
19	38	38	1.94037882163542e-15
20	39	39	2.77157447829972e-15
21	40	40	-2.28865882571782e-15
22	41	41	-1.04371468654181e-15
23	42	42	-3.64590040857248e-15
24	43	43	-3.47280519415377e-15
25	44	44	2.18641438131678e-16
26	45	45	-1.23907191065998e-15
27	46	46	-2.21320937403331e-15
28	47	47	-1.05672165447226e-15
29	48	48	-1.82932374015947e-15
30	49	49	1.06195027768058e-15
31	50	50	-6.37595739047603e-16
32	51	51	7.60175599429704e-16
33	52	52	-1.99570468364025e-15
34	53	53	2.75597777859632e-16
35	54	54	-4.5890683307324e-16
36	55	55	1.81364149535437e-16
37	56	56	-4.43941520862121e-17
38	57	57	2.49582074838803e-16
39	58	58	-1.02680620011053e-15
40	59	59	-7.93929467487783e-16
41	60	60	-9.85945200119861e-16
42	61	61	1.37621423378656e-16
43	62	62	6.25995390726218e-16
44	63	63	-4.90886482640193e-16
45	64	64	-1.90932999629809e-15
46	65	65	-1.26532379986883e-15
47	66	66	-1.16434887372251e-15
48	67	67	-1.36512159894287e-15
49	68	68	-1.62276326505731e-15
50	69	69	-1.13894598445736e-15
51	70	70	-2.8032623785138e-15
52	71	71	-7.66468936611677e-16
53	72	72	1.69439433403466e-15
54	73	73	2.89076259646836e-15
55	74	74	3.33688467203187e-15
56	75	75	1.65769024499532e-15
57	76	76	2.10051078760725e-15
58	77	77	1.92073959159022e-15
59	78	78	2.05233823633066e-15
60	79	79	1.61634589463414e-15
61	80	80	1.73979492600611e-15
62	81	81	2.44465294694383e-15
63	82	82	2.07790971291804e-15
64	83	83	2.40232813946462e-15
65	84	84	1.43769966226627e-15
66	85	85	1.76298545055085e-15
67	86	86	1.06718352865664e-15
68	87	87	1.20765120561757e-15
69	88	88	-1.49737362942058e-15
70	89	89	-2.92635836736864e-15
71	90	90	-1.1220948307744e-16
72	91	91	-1.15103603885482e-15
73	92	92	-6.34591220797092e-16
74	93	93	-6.21762222169739e-16
75	94	94	-5.88987522983616e-16
76	95	95	-9.57916094845614e-16
77	96	96	-7.01354828428555e-16
78	97	97	-1.56376388456362e-15
79	98	98	-1.31701298354802e-15
80	99	99	-2.06296110948886e-16
81	100	100	-2.76579626032651e-15

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
6	0.00631201486898938	0.0126240297379788	0.993687985131011
7	0.000160277900688681	0.000320555801377362	0.999839722099311
8	0.334427311432762	0.668854622865524	0.665572688567238
9	0.0664126188092377	0.132825237618475	0.933587381190762
10	0.0017020637892403	0.00340412757848059	0.99829793621076
11	0.0247093104777829	0.0494186209555658	0.975290689522217
12	0.108147721421364	0.216295442842729	0.891852278578636
13	0.00177238399524174	0.00354476799048348	0.998227616004758
14	0.000207269508961025	0.00041453901792205	0.999792730491039
15	6.64773642011007e-08	1.32954728402201e-07	0.999999933522636
16	2.76260983119251e-17	5.52521966238503e-17	1
17	0.0299909094146172	0.0599818188292345	0.970009090585383
18	9.15056670847599e-09	1.8301133416952e-08	0.999999990849433
19	3.10329092812587e-15	6.20658185625175e-15	0.999999999999997
20	3.09964150833352e-12	6.19928301666704e-12	0.9999999999969
21	1.49525358025865e-10	2.99050716051731e-10	0.999999999850475
22	1.8228614155648e-06	3.64572283112959e-06	0.999998177138584
23	0.00694733503524068	0.0138946700704814	0.993052664964759
24	0.994309491589431	0.0113810168211388	0.00569050841056941
25	6.41206674107593e-15	1.28241334821519e-14	0.999999999999994
26	1.32903457826793e-14	2.65806915653586e-14	0.999999999999987
27	9.22813731941478e-06	1.84562746388296e-05	0.999990771862681
28	3.38175519302065e-15	6.7635103860413e-15	0.999999999999997
29	4.02841712676944e-07	8.05683425353887e-07	0.999999597158287
30	0.999999975427381	4.91452381265891e-08	2.45726190632945e-08
31	0.0210293980579995	0.042058796115999	0.978970601942
32	0.758678358122238	0.482643283755525	0.241321641877762
33	0.568441166468103	0.863117667063794	0.431558833531897
34	1.2401651445682e-10	2.48033028913641e-10	0.999999999875984
35	1.20665620364379e-12	2.41331240728758e-12	0.999999999998793
36	0.424545902286462	0.849091804572924	0.575454097713538
37	5.86560224224041e-12	1.17312044844808e-11	0.999999999994134
38	0.00189093826316733	0.00378187652633465	0.998109061736833
39	2.41465188215453e-15	4.82930376430906e-15	0.999999999999998
40	0.000348878651032555	0.00069775730206511	0.999651121348967
41	4.18846083332277e-09	8.37692166664554e-09	0.999999995811539
42	1	2.04382879283427e-16	1.02191439641714e-16
43	6.56596104627026e-08	1.31319220925405e-07	0.99999993434039
44	0.999999999999985	2.95494393315502e-14	1.47747196657751e-14
45	0.000799932953877684	0.00159986590775537	0.999200067046122
46	0.0125716221768124	0.0251432443536249	0.987428377823188
47	0.999999015299389	1.96940122112577e-06	9.84700610562886e-07
48	1.74797954762369e-13	3.49595909524738e-13	0.999999999999825
49	0.00232676739195758	0.00465353478391516	0.997673232608042
50	0.430687316716749	0.861374633433499	0.569312683283251
51	0.000494060286409827	0.000988120572819654	0.99950593971359
52	0.686743516694744	0.626512966610513	0.313256483305256
53	0.135684116173574	0.271368232347148	0.864315883826426
54	0.999999803401456	3.93197087213668e-07	1.96598543606834e-07
55	2.8790164894163e-06	5.7580329788326e-06	0.999997120983511
56	3.64841857665103e-30	7.29683715330206e-30	1
57	3.72688045885185e-11	7.4537609177037e-11	0.999999999962731
58	0.958934724197219	0.082130551605561	0.0410652758027805
59	0.804076435716846	0.391847128566309	0.195923564283154
60	0.0349548276669014	0.0699096553338028	0.965045172333099
61	0.99906547563243	0.0018690487351398	0.000934524367569899
62	1.2406457690369e-25	2.4812915380738e-25	1
63	0.0291857478580111	0.0583714957160223	0.970814252141989
64	0.17634285289109	0.35268570578218	0.82365714710891
65	0.999999999974026	5.1948497676836e-11	2.5974248838418e-11
66	0.652202686678175	0.695594626643649	0.347797313321824
67	0.429607695974185	0.859215391948369	0.570392304025815
68	0.999986824913843	2.63501723143178e-05	1.31750861571589e-05
69	0.187291216208655	0.37458243241731	0.812708783791345
70	0.0338924408162294	0.0677848816324588	0.966107559183771
71	0.221494124420334	0.442988248840668	0.778505875579666
72	0.99843122211904	0.00313755576191902	0.00156877788095951
73	3.16876120406551e-10	6.33752240813101e-10	0.999999999683124
74	0.969695269693287	0.0606094606134266	0.0303047303067133
75	0.666561791130263	0.666876417739474	0.333438208869737

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	42	0.6	NOK
5% type I error level	48	0.685714285714286	NOK
10% type I error level	54	0.771428571428571	NOK